Keyword Index

GAUSS^TM Keywords

Features/ Functions	Where to Find
ANOVA	Gaussx
ARCH, GARCH	Constrained Maximum Likelihood MT \| FANPAC MT \| Gaussx \| LikPak
ARFIMA	Gaussx \| LikPak
ARMA, ARIMA	Time Series MT \| TSM \| FANPAC MT \| Gaussx \| LikPak
Automatic/Algorithmic Derivatives	AD \| Gaussx
Autoregression	Time Series MT \| Gaussx
Bayesian analysis, Bayesian estimation	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Gaussx
Bessel functions	GAUSS
Bitwise operations	Gaussx
Black & Scholes model	GAUSS
Bootstrap	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Gaussx \| TSM
Bounds constraints	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Linear Regression MT
Box-Cox	FANPAC MT \| Gaussx \| LikPak
Cholesky factorization	GAUSS
Cluster analysis	Gaussx
Cointegration models	COINT \| Time Series MT
Constrained least squares	Constrained Maximum Likelihood MT \| Gaussx
Constrained model, including:linear equality constraints, linear inequality constraints, nonlinear equality constraints, nonlinear inequality constraints, bounds	Constrained Maximum Likelihood MT \| Gaussx
Contingency tables	Descriptive Statistics MT
Correlation dimension	Gaussx
Crosstabs	Descriptive Statistics MT \| Gaussx
Cumulative density functions, Cumulative distribution functions	GAUSS \| Gaussx
Curve fitting	CurveFit
Data generation process	Gaussx \| LikPak
Data transfer	Gaussx \| Stat/Transfer
DBDC model	Gaussx \| LikPak
Descriptive statistics	GAUSS \| Descriptive Statistics MT \| Gaussx
Denoise (Wavelet)	Gaussx
Differential equations	SimGauss
Divisia	Gaussx
Duration models	Maximum Likelihood MT \| Gaussx
ECM Models	Time Series MT
Econometric tests	Constrained Maximum Likelihood MT \| Descriptive Statistics MT \| Linear Regression MT \| Maximum Likelihood MT \| Gaussx \| LikPak
Eigensystems	GAUSS
Equation solution - linear	GAUSS \| Gaussx
Equation solution - nonlinear	Nonlinear Equations MT \| Gaussx
Error correction model	Time Series MT \| Gaussx
Event count analysis	Maximum Likelihood MT
Exponential Weighted Moving Average	GAUSS
Exponential smoothing	Gaussx \| LikPak
Factorizations	GAUSS
FFTs	GAUSS \| Gaussx
Filter	Gaussx
Forecasting	Time Series MT (ARIMA) \| Gaussx \| FANPAC MT
FIML (full information maximum likelihood)	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Gaussx
Financial models	FANPAC MT
Frequencies	Gaussx
Frontier production model	Gaussx
GARCH	Constrained Maximum Likelihood MT \| FANPAC MT \| Gaussx \| LikPak
GAU support	Gaussx
Generalized disjunctivel programming	GENO
General linear model	GAUSS
Generalized SVD, Schur, eigenvalues	GAUSS
Genetic algorithm	Gaussx \| GENO
Genetic engineering	GENO
Gibbs sampling, Gini Coefficients, Global Optimization, GMM (generalized method of moments)	Gaussx
Graphics	GAUSS \| Gaussx \| IGX
Hazard models	Gaussx
Heckit model	Gaussx
Heteroscedasticity (quasi-maximum likelihood)	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Gaussx
Hypothesis testing	Constrained Maximum Likelihood MT \| Gaussx
Interpolation	GAUSS \| Gaussx
Inverse cumulative density functions	GAUSS \| Gaussx
Kalman filter	Gaussx \| TSM
Kernel density plots	Constrained Maximum Likelihood MT \| Constrained Maximum Likelihood \| Maximum Likelihood MT
Lapack functions	GAUSS
Least squares - linear 2-stage and 3-stage	Linear Regression MT \| Gaussx
Least squares - nonlinear 2-stage and 3-stage	Gaussx \| LikPak
Likelihood profile traces	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| CurveFit
Limited dependent variables	Discrete Choice \| Time Series MT \| Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Gaussx
Linear equation solution	GAUSS \| Gaussx
Linear programming	Linear Programming MT \| Gaussx \| GENO
Loess	GAUSS
Logit, Logit regression	GAUSS \| Discrete Choice \| Gaussx \| LikPak
Loglinear models	Loglinear Analysis MT \| Gaussx
LU factorization	GAUSS
Lyapunov exponent	Gaussx
Maple, Mathematica hooks	Gaussx
Markov chain monte carlo, Markov switching model	Gaussx \| LikPak
Markowitz asset allocation analysis	FANPAC MT \| Gaussx \| Constrained Optimization MT
Maximum entropy	Gaussx
Maximum likelihood	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| TSM \| Gaussx

Features/ Functions	Where to Find
Missing data	GAUSS Data Tool \| Amelia \| Gaussx
Mixed integer programming	GENO
MNL model	Discrete Choice \| Gaussx \| LikPak
MNP model	Gaussx \| LikPak
MonteCarlo simulation	Gaussx
Moving Average	GAUSS
Mps files	Linear Programming MT
Multinomial logit	Discrete Choice \| Gaussx \| LikPak
Multinomial probit	Discrete Choice \| Gaussx \| LikPak
Multi-criteria programming, Multi-objective programming	GENO
Multiple response optimization	Gaussx
Multivariate models	FANPAC MT \| Gaussx \| Loglinear Analysis MT
Multivariate time series	Time Series MT \| FANPAC MT \| Gaussx
Murphy Topel correction	Gaussx
Negative binomial process	LikPak
Nelder Meade, Neural Networks, Newey West	Gaussx
Nonlinear dynamic simulation	SimGauss
NLP (nonlinear programming)	Constrained Optimization MT \| GAUSS \| GENO
Nonlinear regression	CurveFit \| Gaussx
Nonlinear systems of equations	Nonlinear Equations \| CurveFit \| GAUSS \| Gaussx
Nonparametric regression, Nonparametric tests	Gaussx\| LikPak
Nonstationary time series	COINT
Numerical gradient, Hessian	GAUSS \| Gaussx
ODBC	GAUSS \| Stat/Transfer
Optimization	Optimization MT \| Constrained Optimization MT \| GAUSS \| Gaussx
Optimization of Dynamic Nonlinear systems	SimGauss \| Optimization MT
Options pricing	GAUSS
Ordered logit, probit	Discrete Choice \| Gaussx \| LikPak
Panel data	Time Series MT
Parallel loops	GAUSS
Parameter Fitting for Dynamic Nonlinear systems	SimGauss \| Maximum Likelihood MT
Parametric tests	Descriptive Statistics MT \| Linear Regression MT \| Gaussx
Partial Least Squares	Gaussx
Poisson process	LikPak
Poisson regression	Discrete Choice \| Maximum Likelihood MT \| Gaussx
Polynomial distributed lag	Gaussx
Principle Components	GAUSS
Probability density functions	GAUSS \| Gaussx
Probit, Probit regression	Discrete Choice \| Gaussx \| LikPak
Profile t traces	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| CurveFit
Programming models	Constrained Optimization MT \| Linear Programming MT
QR factorization	GAUSS
Quadratic programming	GAUSS
Quasi-maximum likelihood (QML)	Constrained Maximum Likelihood MT \| Maximum Likelihood MT
Quasi random variables	GAUSS \| Gaussx
Random variables	Gaussx
Regression, least squares	GAUSS \| Gaussx
Residuals analysis	Linear Regression MT
Response Surface Analysis	Gaussx
Robust estimation	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Gaussx
Sample selection	Gaussx
Schur factorization	GAUSS
SUR (seemingly unrelated regression)	Linear Regression MT \| Gaussx
Sequential quadratic programming	Constrained Maximum Likelihood MT \| Constrained Optimization MT \| Gaussx
Simulated annealing	Gaussx
Simulation (Dynamic)	SimGauss
Simultaneous equations	Gaussx
Singular value decomposition	GAUSS \| Gaussx
Social network analysis	SNAP
Sparse matrices	GAUSS \| Linear Programming MT
Spectral analysis	Gaussx \| TSM
Splines, line and surface	GAUSS
Spreadsheets	GAUSS \| GAUSS Data Tool \| Gaussx
SSM (state space model)	TSM \| SSATS
Statistical processes	LikPak
Stochastic volatility process	Gaussx \| LikPak
Survival models	Gaussx
Symbolic algebra	Symbolic Tools
Systems of differential equations	SimGauss
Tabulate	Descriptive Statistics MT \| Gaussx
Tests	Constrained Maximum Likelihood MT \| Descriptive Statistics MT \| Linear Regression MT \| Gaussx
Three stage least squares	Linear Regression MT \| Gaussx
Time-frequency analysis	TSM
Time series	TSM \| Time Series MT \| COINT \| Gaussx \| SimGauss \| FANPAC MT
Time series - cross sectional regression	Time Series MT
Timer	Gaussx
Tobit regression	Constrained Maximum Likelihood MT \| Gaussx
Transfer functions	Gaussx
Trust region	Constrained Maximum Likelihood MT \| Gaussx
2 Point Boundary Value Problems for Non-linear Dynamic Systems	SimGauss \| Nonlinear Equations MT
Two stage least squares	Linear Regression MT \| Gaussx
Univariate models	TSM \| CurveFit
Unconstrained optimization	Optimization MT \| GAUSS \| Gaussx
VAR (vector autoregressive models)	TSM \| Gaussx \| Time Series MT
VARMA models	Time Series MT
VARMA, VARMAX	Time Series MT \| Gaussx \| LikPak
Wavelet analysis, wavelet packet analysis	TSM
Weighted models	Constrained Maximum Likelihood MT \| Maximum Likelihood MT \| Curve Fit \| Gaussx
Welfare analysis	Gaussx
Whittle process	Gaussx \| LikPak

GAUSS^TM Keywords

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Keyword Index

GAUSSTM Keywords

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GAUSS^TM Keywords